Case-based team recommendation

Yonata Andrelo Asikin, Michele Brocco, Wolfgang Woerndl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Team recommendation is required for composing an appropriate team for a particular task or project by selecting/choosing among the adequate/best team members. Usually project managers decide how to compose a team based on their experience in similar projects. Given this best practice we propose to algorithmically compose appropriate teams for a task by applying case-based reasoning on a previously developed meta-model for team recommendation. We evaluate our approach through comparing the ranking given by a domain expert with the result of our recommender and conclude with a discussion of these results.

Original languageEnglish
Title of host publicationSocial Informatics - Second International Conference, SocInfo 2010, Proceedings
Pages1-18
Number of pages18
DOIs
StatePublished - 2010
Event2nd International Conference on Social Informatics, SocInfo 2010 - Laxenburg, Austria
Duration: 27 Oct 201029 Oct 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6430 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Social Informatics, SocInfo 2010
Country/TerritoryAustria
CityLaxenburg
Period27/10/1029/10/10

Keywords

  • case-based reasoning
  • team recommendation

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